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Quantitative Comparison of Rainfall Erosivity in Dry and Wet Climate Regions of China Based on Different Rainfall Data
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Xiaoyu Xing1, 2, Lin Huang1, Yuhe Ji3, Lulu Liu4, Wei Cao1
Journal of Soil and Water Conservation | 2026, 40(4) : 430 - 442
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Journal of Soil and Water Conservation | 2026, 40(4): 430-442
• Technical Method •
Quantitative Comparison of Rainfall Erosivity in Dry and Wet Climate Regions of China Based on Different Rainfall Data
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Xiaoyu Xing1, 2, Lin Huang1, Yuhe Ji3, Lulu Liu4, Wei Cao1
Affiliations
  • 1.Key Laboratory of Land Surface Pattern and Simulation,Institute of Geographic Sciences and Natural Resources Research,CAS,Beijing 100101,China
  • 2.University of Chinese Academy of Sciences,Beijing 100049,China
  • 3.State Key;Laboratory of Severe Weather,Chinese Academy of Meteorological Sciences,Beijing 100081,China
  • 4.School of Architecture and Civil Engineering,Chengdu University,Chengdu 610106,China
Published: 2026-08-28 doi: 10.13870/j.cnki.stbcxb.2026.04.022
Outline
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Objective This study systematically evaluates the estimation accuracy of a simple rainfall erosivity model across different regions and rainfall levels. Methods Based on observational data from 2 078 meteorological stations in humid, semi-humid, and semi-arid regions of China, rainfall erosivity of different magnitudes was calculated using the classic EI30 model at hourly and daily rainfall scales as the baseline, and then compared with estimates from the daily rainfall erosivity model proposed. Results 1) Rainfall erosivity calculated by the two methods showed a spatial pattern of low values in the northwest and high values in the southeast, with significant positive correlations in humid, semi-humid, and semi-arid regions. 2) Without considering rainfall classification, estimation deviations of the daily rainfall erosivity model in humid, semi-humid, and semi-arid regions were 16.06%, 22.47% and 24.19%, respectively. However, under different rainfall levels, deviations of rainfall erosivity estimation in the above regions increased markedly, with systematic overestimation for moderate and heavy rain and systematic underestimation for rainstorms and extreme rainstorms. 3) Considering both data deviation and correlation coefficient, the daily rainfall erosivity model achieved the highest estimation accuracy in humid regions under rainstorm conditions, followed by semi-humid regions under rainstorm, and the lowest accuracy was found in humid regions under moderate rainfall conditions. Conclusion Accuracy differences and variation patterns of the daily rainfall erosivity model under different rainfall levels and in different dry and wet regions will provide an important basis for development of zoned and graded estimation models.

rainfall erosivity  /  dry and wet climate regions  /  relative deviation  /  quantitative evaluation
邢霄钰, 黄麟, 汲玉河, 刘璐璐, 曹巍. 基于不同降雨资料的中国干湿气候区降雨侵蚀力定量对比. 水土保持学报, 2026 , 40 (4) : 430 -442 . DOI: 10.13870/j.cnki.stbcxb.2026.04.022
Xiaoyu Xing, Lin Huang, Yuhe Ji, Lulu Liu, Wei Cao. Quantitative Comparison of Rainfall Erosivity in Dry and Wet Climate Regions of China Based on Different Rainfall Data[J]. Journal of Soil and Water Conservation, 2026 , 40 (4) : 430 -442 . DOI: 10.13870/j.cnki.stbcxb.2026.04.022
Year 2026 volume 40 Issue 4
179
81
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Article Info
doi: 10.13870/j.cnki.stbcxb.2026.04.022
  • Receive Date:2026-01-07
  • Online Date:2026-09-30
  • Published:2026-08-28
Article Data
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History
  • Received:2026-01-07
  • Revised:2026-04-01
  • Accepted:2026-04-15
Funding
Affiliations
    1.Key Laboratory of Land Surface Pattern and Simulation,Institute of Geographic Sciences and Natural Resources Research,CAS,Beijing 100101,China
    2.University of Chinese Academy of Sciences,Beijing 100049,China
    3.State Key;Laboratory of Severe Weather,Chinese Academy of Meteorological Sciences,Beijing 100081,China
    4.School of Architecture and Civil Engineering,Chengdu University,Chengdu 610106,China
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表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)
属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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